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Recent work suggests that gully erosion is the main contributor of sediments to the Great Barrier Reef, Australia. The objectives ofthis study were to identify the location of gullies as well as the landscape characteristics associated with gully presence in theBurdekin Catchment. Data were collected by random sampling using Google Earth. A spatial-statistical analysis allowed theexclusion of areas where gullies were less likely to be present. The remaining gully sensitive areas were then manually mapped byusing Google Earth, assisting in the creation of a predictive map. A semi-quantitative gully presence map was also created byvisually inspecting imagery at 5 km × 5 km grid cell scale. Results show a strong relationship between gully presence and drainagefeatures, low tree cover and low slopes. The resulting predictive map has correctly allocated more than 90% of gullies within lessthan 20% of the Burdekin's area, yet uncertainties still remain. The manually derived mapping product comprises the mostcomprehensive gully data available for the Burdekin, while the high-resolution predictive map and the 5 km × 5 km grid map willallow better targeting of gullied areas in later stages of this research. This study also provides a methodology that can be applied tomapping gullies over extensive areas. It demonstrates how Google Earth could be used as a reliable platform for mapping gullies anddiscusses the limitations in the use of remotely sensed data for gully mapping and modelling

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

GULLIES, GOOGLE EARTH AND THE GREAT BARRIER REEF: A REMOTE SENSING METHODOLOGY FOR MAPPING GULLIES OVER EXTENSIVE AREAS